Data & Category Management Executive

Manpower UK - RISE; Kingston upon Thames; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A global FMCG client is seeking an interim Data & Category Management Executive in Kingston upon Thames. This full-time temporary role requires 36.25 hours per week with hybrid working arrangements. Responsibilities include driving data strategies and collaborating with teams to enhance customer engagement. Candidates should have experience in data management, stakeholder interaction, and possess good communication skills. Competitive compensation is available, up to £60,000 per annum pro rata, based on experience.

Benefits

Free parking at local carpark

Discounted products from Unilever Staff Shop

Access to on-site gym

Canteen facilities

Qualifications

• Relevant business experience within data and category management.
• Experience in data analytics, AI, and machine learning is desirable.
• Strong networking ability and teamwork skills.

Responsibilities

• Drive data, category management, and customer experience strategy.
• Collaborate with global and local data teams for sales enablement.
• Develop a category management toolkit for sales support.

Skills

Data management

Stakeholder management

Communication

Commercial awareness

Project management

Education

Degree preferred or A-level equivalent

Tools

Microsoft Office Suite

CRM systems

Job description

Job Description

Manpower are currently seeking an interim Data & Category Management Executive, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment.

The position is based in Kingston upon Thames, Surrey. This is a full-time temporary role to run for 12 months, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to £60,000 per annum, pro rata, depending upon experience.

The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements.

Job Purpose

As the Data & Category Management Executive, you will be responsible for helping to drive the data, category management and customer experience strategy across UFS UKI ANZ, partnering in a number of areas, critical to enabling our Customer Development and Marketing teams to succeed in driving business growth. You will work closely with your local teams with Brand, Trade & Digital Marketing, CSP (Customer Strategy & Planning); teams as well as collaborating with global partners from Data & Analytics to Customer Experience and Business Operations to drive optimal ways of working enable key stakeholders to drive UFS market share & performance. You will also help build and develop our category relationships externally with our most strategic customers in order to identify and capitalise on areas of mutually beneficial growth and improve the level of collaboration and data sharing to help fuel & enable the 2030 Data & CX Strategy.

Your role in owning, developing and delivering in this role is dependent on your ability to communicate well both written and orally, as well as your passion for supporting business and category growth.

Key Accountabilities

• Collaborate with global & local counterparts to better leverage data to inform our Digital nurturing, lead management & sales conversion via enhanced & personalised Customer Journeys
• Collaborate with global data & tech teams to develop & support a future-proof tech stack (inc. CRM) to fully enable our sales & marketing community to win in the market.
• Drive business & category growth. Provide training & on-going Implement a strategy to enhance data-driven decision marking across UFS UKI via 1st party data, secondary sales data & named-sales acquisition & utilisation
• Develop a category management toolkit for Sales & marketing support to embed toolkit with sales team.
• Develop external category management relationships with strategic customers, providing actionable recommendations to capitalise & drive areas of mutually beneficial growth.
• Support integration of AI/machine learning into UFS strategy by identifying right toolkit, upskilling relevant teams & lead change management to bring these to life.

Key Requirements

• Relevant business experience within data, insights & category management, managing stakeholders across Sales & Marketing to drive efficiencies, optimal ways of working.
• Experience in advanced data, analytics, AI & machine learning, insight generation, customer engagement desirable but not essential.
• Good communication, influencing skills & ability to manage internal & external stakeholders at all levels.
• Good commercial awareness and business acumen; highly numerate and adept at working with data.
• Experience of translating continuous data sources & ad-hoc research into actionable insights
• Advanced Microsoft skills & an ability to understand and utilise new systems & toolkits.
• Experience in applying AI/machine learning to drive efficiencies & value in a business context (preferred)
• Ability to work under pressure and to tight deadlines & deliver to high standard.
• Strong networking ability and strong cross-functional team working.
• Equally able to work independently & form long lasting working relationships with colleagues & customers.
• Project management experience - examples of delivering on time, in full to drive tangible value.
• Strong organisational skills and an ability to meet timelines in a disciplined manner.
• Degree preferred, education to A level or International Equivalent essential.

Additional Information

• Contractors who are based at Kingston will be eligible to get free parking at a local carpark
• There is a Unilever Staff Shop located on the Ground Floor next to the main entrance, where Contingent Workers can buy discounted Unilever products.
• A canteen
• A Gym is available for use on the Ground Floor (with subscription).
• Facilities in the gym include cardiovascular equipment, resistance machines, spin bikes, free weights area, boxing equipment and a stretch/matted area. Classes are also available and can be booked directly with the Gym. Shower facilities are available in the changing rooms, along with hairdryers.